ReviewClinical & translational immunology2020
Immune contexture analysis in immuno-oncology: applications and challenges of multiplex fluorescent immunohistochemistry.
Review in Clinical & translational immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Beyond PD-1/PD-L1: Reprogramming the Gynecologic Tumor Microenvironment by Targeting TIGIT and Myeloid Suppression.International journal of molecular sciences · 2026Review
- Review
- Distinct Tumor-Immune Ecologies in Patients with Lung Cancer Predict Progression and Define a Clinical Biomarker of Therapy Response.Cancer research · 2026Article
- A non-fluorescent immunohistochemistry method for measuring autophagy flux using MAP1LC3/LC3 and SQSTM1 as core markers.FEBS open bio · 2025Article
- Immunohistochemistry for Skin Cancers: New Insights into Diagnosis and Treatment of Melanoma.Cancers · 2025Review
- Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation.Cancer medicine · 2025Review
- Digital analysis of the prostate tumor microenvironment with high-order chromogenic multiplexing.Journal of pathology informatics · 2024Article
- Current state and future prospects of spatial biology in colorectal cancer.Frontiers in oncology · 2024Review
- An overview of the detection of bovine respiratory disease complex pathogens using immunohistochemistry: emerging trends and opportunities.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024Review
- Advancements in technology for characterizing the tumor immune microenvironment.International journal of biological sciences · 2024Review
- Antibody Profiling: Kinetics with Native Biomarkers for Diagnostic Assay and Drug Developments.Biosensors · 2023Article
- Quantitative multiplexed imaging technologies for single-cell analysis to assess predictive markers for immunotherapy in thoracic immuno-oncology: promises and challenges.British journal of cancer · 2023Review
- Multiplex Immunofluorescence Image Quality Checking Using DAPI Channel-referenced Evaluation.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2023Article
- Methods for assessment of the tumour microenvironment and immune interactions in non-small cell lung cancer. A narrative review.Frontiers in oncology · 2023Review
- Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging.Nature methods · 2022Review
- The seen and the unseen: Molecular classification and image based-analysis of gastrointestinal cancers.Computational and structural biotechnology journal · 2022Review
- Quantitative high-throughput analysis of tumor infiltrating lymphocytes in breast cancer.Frontiers in oncology · 2022Article
- The need for measurement science in digital pathology.Journal of pathology informatics · 2022Article
- Comparison of liver biopsies before and after direct-acting antiviral therapy for hepatitis C and correlation with clinical outcome.Scientific reports · 2021Article
- Challenges and Opportunities in the Statistical Analysis of Multiplex Immunofluorescence Data.Cancers · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The tumor microenvironment is an integral player in cancer initiation, tumor progression, response and resistance to anti-cancer therapy. Understanding the complex interactions of tumor immune architecture (referred to as 'immune contexture') has therefore become increasingly desirable to guide our approach to patient selection, clinical trial design, combination therapies, and patient management. Quantitative image analysis based on multiplexed fluorescence immunohistochemistry and deep learning technologies are rapidly developing to enable researchers to interrogate complex information from the tumor microenvironment and find predictive insights into treatment response. Herein, we discuss current developments in multiplexed fluorescence immunohistochemistry for immune contexture analysis, and their application in immuno-oncology, and discuss challenges to effectively use this technology in clinical settings. We also present a multiplexed image analysis workflow to analyse fluorescence multiplexed stained tumor sections using the Vectra Automated Digital Pathology System together with FCS express flow cytometry software. The benefit of this strategy is that the spectral unmixing accurately generates and analyses complex arrays of multiple biomarkers, which can be helpful for diagnosis, risk stratification, and guiding clinical management of oncology patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.